Torsten Hahmann

Dr. Torsten Hahmann serves as Associate Professor in the School of Computing and Information Science at the University of Maine and is affiliated with the Spatial Data Science Institute. He directs the Spatial Knowledge and Artificial Intelligence (SKAI) lab and joined the university in 2013 after completing postdoctoral research at Autodesk.

His educational background includes a Ph.D. (2013) and M.Sc. (2008) from the University of Toronto. Dr. Hahmann's research spans spatial informatics and artificial intelligence, focusing on knowledge representation, logic, and automated reasoning for geospatial data integration. His work bridges computer science, geography, philosophy, and environmental sciences to develop ontologies that convert precise computational spatial data into qualitative human descriptions and integrate heterogeneous datasets.

Current major projects include a $6M NSF Urban Flooding Open Knowledge Network (UF-OKN), $1.5M NSF Safe Agriculture and Water Graph (SAWGraph) for PFAS contamination, USDA-funded CelloGraph for cellulose materials, and Geological Survey of Canada collaboration on water feature semantics. He leads development of the macleod toolkit for Common Logic ontology reasoning.

His research methodology combines theoretical advances in logic-based AI with domain-specific applications in environmental science, urban infrastructure, and agricultural safety, securing substantial federal funding from NSF and USDA for real-world impact.